AML Analyst Job at Robert Half in Phoenixville

Robert Half is currently seeking candidates with a Bachelor's Degree in a legal or financial related discipline (criminal justice, political science, sociology, paralegal studies, etc.) for a long term contract based opportunity with one of the areas top financial institutions.

Job Description:

1. Please note training will be provided (no prior AML experience required). The specifics of this engagement include the performance of end to end AML investigation reviews. This encompasses performing internal searches of client systems, open source media searches, negative news checks, transactional reviews, completion of AML Disposition template and where necessary drafting of SAR Narrative. This will include being able to manipulate data in excel (pivot tables, v-lookup, filtering, etc).

2. Relevant education experience required (JD, Law Student, Bachelor’s in Legal or Financial industry or paralegal certificate)

3. Bachelor’s Degree is a requirement for this position

4. Solid Writing/communication skills

5. Strong technology skills (Excel)

6. Flexibility to work with rapidly changing priorities.

7. Experience working with big data or on large volume document review strongly preferred.

Additional Details:

1. Hours: 8:30 – 5 or 9 – 5:30 EST; OT likely

2. Expected start date: 1/13/2025, candidate will be required to submit and clear a background check

3. Duration: expected through Spring 2025 with strong possibility of extension

4. Location: onsite in Wayne, PA (no option for remote work)

5. Requirements: Candidate must have a completed Bachelor’s Degree; legal or financial compliance experience is preferred

6. AML experience is not required; training will be provided

Relevant education experience required (JD, Law Student, Bachelor’s in Legal or Financial industry or paralegal certificate)

Bachelor’s Degree is a requirement for this position

Solid Writing/communication skills

Strong technology skills (Excel)

Flexibility to work with rapidly changing priorities.

Experience working with big data or on large volume document review strongly preferred